Model save
Browse files- README.md +3 -11
- adapter_config.json +6 -6
- adapter_model.safetensors +1 -1
- num_examples=400/llava-v1.5-13b_1.0/README.md +202 -0
- num_examples=400/llava-v1.5-13b_1.0/adapter_config.json +34 -0
- num_examples=400/llava-v1.5-13b_1.0/adapter_model.safetensors +3 -0
- num_examples=400/llava-v1.5-13b_1.0/special_tokens_map.json +24 -0
- num_examples=400/llava-v1.5-13b_1.0/tokenizer.model +3 -0
- num_examples=400/llava-v1.5-13b_1.0/tokenizer_config.json +42 -0
- num_examples=400/llava-v1.5-13b_1.0/training_args.bin +3 -0
- trainer_state.json +780 -2700
- training_args.bin +1 -1
README.md
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---
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library_name: peft
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tags:
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- liuhaotian/llava-v1.5-13b_20.0
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0032
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- eval_runtime: 40.8515
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- eval_samples_per_second: 11.064
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- eval_steps_per_second: 0.367
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- epoch: 19.0
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- step: 285
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## Model description
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---
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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model-index:
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- name: llava_13b_exact_location_name_synthetic
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llava_13b_exact_location_name_synthetic
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
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## Model description
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"q_proj",
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"down_proj",
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"o_proj",
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"v_proj",
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"k_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1001466944
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version https://git-lfs.github.com/spec/v1
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oid sha256:557f643fb9ea39a222565056a227833e88cb61103173e8fb3aa44388922c23bb
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size 1001466944
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num_examples=400/llava-v1.5-13b_1.0/README.md
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+
---
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+
library_name: peft
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base_model: liuhaotian/llava-v1.5-13b
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+
---
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+
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# Model Card for Model ID
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+
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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+
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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| 22 |
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- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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+
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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+
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- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 35 |
+
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+
## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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| 45 |
+
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### Downstream Use [optional]
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| 47 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 49 |
+
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[More Information Needed]
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| 51 |
+
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### Out-of-Scope Use
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| 53 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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+
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## Bias, Risks, and Limitations
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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+
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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| 142 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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| 162 |
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#### Hardware
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| 164 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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| 194 |
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.10.0
|
num_examples=400/llava-v1.5-13b_1.0/adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "liuhaotian/llava-v1.5-13b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 256,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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| 1926 |
},
|
| 1927 |
{
|
| 1928 |
+
"epoch": 19.67,
|
| 1929 |
"learning_rate": 0.0002,
|
| 1930 |
+
"loss": 0.0014,
|
| 1931 |
"step": 295
|
| 1932 |
},
|
| 1933 |
{
|
| 1934 |
+
"epoch": 19.73,
|
| 1935 |
"learning_rate": 0.0002,
|
| 1936 |
+
"loss": 0.0028,
|
| 1937 |
"step": 296
|
| 1938 |
},
|
| 1939 |
{
|
| 1940 |
+
"epoch": 19.8,
|
| 1941 |
"learning_rate": 0.0002,
|
| 1942 |
+
"loss": 0.0013,
|
| 1943 |
"step": 297
|
| 1944 |
},
|
| 1945 |
{
|
| 1946 |
+
"epoch": 19.87,
|
| 1947 |
"learning_rate": 0.0002,
|
| 1948 |
+
"loss": 0.0012,
|
| 1949 |
"step": 298
|
| 1950 |
},
|
| 1951 |
{
|
| 1952 |
+
"epoch": 19.93,
|
| 1953 |
"learning_rate": 0.0002,
|
| 1954 |
+
"loss": 0.0032,
|
| 1955 |
"step": 299
|
| 1956 |
},
|
| 1957 |
{
|
| 1958 |
+
"epoch": 20.0,
|
| 1959 |
"learning_rate": 0.0002,
|
| 1960 |
+
"loss": 0.0009,
|
| 1961 |
"step": 300
|
| 1962 |
},
|
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|
| 1963 |
{
|
| 1964 |
"epoch": 20.0,
|
| 1965 |
+
"eval_loss": 0.001072522602044046,
|
| 1966 |
+
"eval_runtime": 40.8012,
|
| 1967 |
+
"eval_samples_per_second": 11.078,
|
| 1968 |
+
"eval_steps_per_second": 0.368,
|
| 1969 |
+
"step": 300
|
| 1970 |
},
|
| 1971 |
{
|
| 1972 |
"epoch": 20.0,
|
| 1973 |
+
"step": 300,
|
| 1974 |
+
"total_flos": 1.1384455326209147e+18,
|
| 1975 |
+
"train_loss": 0.061958263306781496,
|
| 1976 |
+
"train_runtime": 6619.0096,
|
| 1977 |
+
"train_samples_per_second": 1.366,
|
| 1978 |
+
"train_steps_per_second": 0.045
|
| 1979 |
}
|
| 1980 |
],
|
| 1981 |
"logging_steps": 1.0,
|
| 1982 |
+
"max_steps": 300,
|
| 1983 |
"num_input_tokens_seen": 0,
|
| 1984 |
"num_train_epochs": 20,
|
| 1985 |
"save_steps": 50000,
|
| 1986 |
+
"total_flos": 1.1384455326209147e+18,
|
| 1987 |
"train_batch_size": 4,
|
| 1988 |
"trial_name": null,
|
| 1989 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6840
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6c3553537bc1d3d0652cf3b2bdcfd5226cf4b6778fd749d352ca45570436029
|
| 3 |
size 6840
|